Active contour models are popular and widely used for a variety of image segmentation
applications with promising accuracy, but they may suffer from limited segmentation …

This paper presents a fast and robust level set method for image segmentation. To enhance
the robustness against noise, we embed a Markov random field (MRF) energy function to the …

The GVF snake is effective on converging into concave areas and being insensitive to
initialization. However, it fails to converge to areas with deep and narrow concavities or …

Gradient vector flow (GVF) is an important and widely used external force field for snake
evolution. Due to difficulties in evolving over saddle points and stationary points of GVF field …

CBCT images have been widely used in digital orthodontics. In CBCT images, there are
some tooth boundaries of blurriness and disappearance, and the teeth are of intensity …

Background and objectives: Accurate segmentation of critical tissues from a brain MRI is
pivotal for characterization and quantitative pattern analysis of the human brain and thereby …

In this paper, inclusion degree of fuzzy sets is introduced to image segmentation. The image
segmentation problem is novelly modeled as the minimization of the overlapping rates …

Partial differential equation-based (PDE-based) methods are extensively used in image
segmentation, especially in contour models. Difficulties associated with the boundaries …

Active contour model (ACM) is able to obtain sub-pixel precision segmentation and has
been widely employed in biomedical image analysis and video segmentation. Existing …

Image segmentation is an essential analysis tool in the field of computer vision, and the level
set method has been widely used in image segmentation. Specifically, the edge-based level …